As an intern, you'll be integrated into the Trip Intelligence working group at Airbnb. The primary goal of your role is to improve the quality of our GSAT model, which infers Guest satisfaction with their trip experience through applications of AI to a variety of data sources.

Key responsibilities include: Conducting literature reviews to identify ways in which active learning can be integrated into our current model. Investigating innovative approaches to improving labeling for training and evaluation datasets. Implementing an active learning pipeline for our existing model and analyzing the performance. Investigating other approaches to improving label quality (e.g. LLM labeling agents).

This internship offers a unique opportunity to work on a cutting-edge problem, leveraging your knowledge of GenAI methods. You will have the chance to participate in exploratory research that directly impacts our understanding of the core part of the Airbnb experience, while also gaining valuable experience in the field.

A typical day as an intern will involve collaborating with multiple team members to achieve project milestones, communicating with stakeholders across different teams to provide project updates, seeking and providing feedback throughout the internship, and actively participating in and contributing to the Data Science org and broader Airbnb community.

Your expertise should include studying computer science, computer engineering, data science, or an equivalent technical field, knowledge of cutting-edge GenAI techniques in the image domain, ability to read and summarize papers from the literature, solid Python coding skills, familiarity with at least one DNN framework (PyTorch or Tensorflow), and demonstrated interest in high growth, technology, and/or hospitality companies.

Work authorization for employment in the United States is required (CPT/OPT with 2-year STEM extension is accepted).

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